This Jupyter Notebook has been developed based on "A Beginner's Python Tutorial" by Steven Thurlow. The original material has been ported to Python 3.

Jupyter Notebooks for How to Think Like a Computer Scientist - Learning with Python 3 (RLE) Textbook

The best way to learn Python is by practicing examples. The repository contains examples of basic concepts of Python. You are advised to take the references from these examples and try them on your…

Data types specify the different sizes and values that can be stored in the variable. For example, Python stores numbers, strings, and a list of values using different data types. Learn different t…

Flow control is the order in which statements or blocks of code are executed at runtime based on a condition. Learn Conditional statements, Iterative statements, and Transfer statements

The function is a block of code defined with a name. We use functions whenever we need to perform the same task multiple times without writing the same code again. It can take arguments and returns…

Python too supports file handling and allows users to handle files i.e., to read and write files, along with many other file handling options, to operate on files. The concept of file handling has …

Object-oriented programming (OOP) is a method of structuring a program by bundling related properties and behaviors into individual objects. In this tutorial, you’ll learn the basics of object-orie…

You'll learn about Iterators, Generators, Closure, Decorators, Property, and RegEx in detail with examples.

Time is undoubtedly the most critical factor in every aspect of life. Therefore, it becomes very essential to record and track this component. In Python, date and time can be tracked through its bu…

Numpy is a general-purpose array-processing package. It provides a high-performance multidimensional array object and tools for working with these arrays. It is the fundamental package for scientif…

Pandas is a high-level data manipulation tool developed by Wes McKinney. It is built on the Numpy package and its key data structure is called the DataFrame. DataFrames allow you to store and manip…

Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broade…

Seaborn is one of the go-to tools for statistical data visualization in python. It has been actively developed since 2012 and in July 2018, the author released version 0.9. This version of Seaborn …

This repository explores the variety of techniques and algorithms commonly used in machine learning and the implementation in MATLAB and PYTHON.

This repository explores the variety of techniques and algorithms commonly used in deep learning and the implementation in MATLAB and PYTHON

This repository explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both…

Learn the basics of Python. These tutorials are for Python beginners. so even if you have no prior knowledge of Python, you won’t face any difficulty understanding these tutorials.

Jupyter notebooks for teaching/learning Python 3

Book: Introduction to Python for Computational Science and Engineering

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

Content from the University of British Columbia's Master of Data Science course DSCI 511.